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The Relationship of Sugar to Population-Level Diabetes Prevalence: An Econometric Analysis of Repeated Cross-Sectional Data

Overview of attention for article published in PLoS ONE, January 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#41 of 123,794)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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353 Mendeley
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2 CiteULike
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Title
The Relationship of Sugar to Population-Level Diabetes Prevalence: An Econometric Analysis of Repeated Cross-Sectional Data
Published in
PLoS ONE, January 2013
DOI 10.1371/journal.pone.0057873
Pubmed ID
Authors

Sanjay Basu, Paula Yoffe, Nancy Hills, Robert H. Lustig, Basu S, Yoffe P, Hills N, Lustig RH, Bridget Wagner

Abstract

While experimental and observational studies suggest that sugar intake is associated with the development of type 2 diabetes, independent of its role in obesity, it is unclear whether alterations in sugar intake can account for differences in diabetes prevalence among overall populations. Using econometric models of repeated cross-sectional data on diabetes and nutritional components of food from 175 countries, we found that every 150 kcal/person/day increase in sugar availability (about one can of soda/day) was associated with increased diabetes prevalence by 1.1% (p <0.001) after testing for potential selection biases and controlling for other food types (including fibers, meats, fruits, oils, cereals), total calories, overweight and obesity, period-effects, and several socioeconomic variables such as aging, urbanization and income. No other food types yielded significant individual associations with diabetes prevalence after controlling for obesity and other confounders. The impact of sugar on diabetes was independent of sedentary behavior and alcohol use, and the effect was modified but not confounded by obesity or overweight. Duration and degree of sugar exposure correlated significantly with diabetes prevalence in a dose-dependent manner, while declines in sugar exposure correlated with significant subsequent declines in diabetes rates independently of other socioeconomic, dietary and obesity prevalence changes. Differences in sugar availability statistically explain variations in diabetes prevalence rates at a population level that are not explained by physical activity, overweight or obesity.

Twitter Demographics

The data shown below were collected from the profiles of 1,191 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 353 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 3%
United Kingdom 5 1%
Australia 2 <1%
Germany 1 <1%
Nigeria 1 <1%
Slovenia 1 <1%
Italy 1 <1%
Brazil 1 <1%
Ireland 1 <1%
Other 7 2%
Unknown 323 92%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 71 20%
Student > Master 60 17%
Researcher 54 15%
Student > Ph. D. Student 49 14%
Student > Postgraduate 29 8%
Other 90 25%
Readers by discipline Count As %
Medicine and Dentistry 111 31%
Agricultural and Biological Sciences 68 19%
Social Sciences 26 7%
Nursing and Health Professions 24 7%
Unspecified 21 6%
Other 103 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 1105. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 April 2018.
All research outputs
#1,955
of 9,724,484 outputs
Outputs from PLoS ONE
#41
of 123,794 outputs
Outputs of similar age
#22
of 123,497 outputs
Outputs of similar age from PLoS ONE
#1
of 4,514 outputs
Altmetric has tracked 9,724,484 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 123,794 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 123,497 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 4,514 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.